by awslabs · MCP Server · ★ 399
GraphRAG Toolkit The graphrag-toolkit is a collection of Python tools for building graph-enhanced Generative AI applications. Installation instructions and requirements are detailed separately with each tool. Lexical Graph The lexical-graph provides a framework for automating the construction of a hierarchical lexical graph from unstructured data, and composing question-answering strategies that query this graph when answering user questions. Additional Resources Introducing the GraphRAG Toolkit [Blog Post] GraphRAG Toolkit launch blog post.
| Stars | 399 |
| Forks | 88 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 41.036/100 |
| Open Issues | 14 |
| Last Updated | 2026-05-21 |
| Created | 2024-11-15 |
| Platforms | mcp, python |
| Est. Tokens | ~5304k |
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graphrag-toolkit is Python toolkit for building graph-enhanced GenAI applications. It is categorized as a MCP Server with 399 GitHub stars.
graphrag-toolkit is primarily written in Python. It covers topics such as amazon-neptune, amazon-opensearch-serverless, graph-database.
You can find installation instructions and usage details in the graphrag-toolkit GitHub repository at github.com/awslabs/graphrag-toolkit. The project has 399 stars and 88 forks, indicating an active community.
graphrag-toolkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.